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Dr. Shiva Pratap Gopakumar

Associate Professor, School for Sustainable Futures, Amritapuri

Qualification: Ph.D
shivapg@am.amrita.edu
Google Scholar Profile
Research Interest: Explainable Machine Learning, Health Analytics, Feature Selection Methods, Bayesian Optimisation

Bio Publications Education Work Experience
Bio

Dr. Shiva Pratap Gopakumar is currently an Associate Professor with the Amrita School for Sustainable Futures, Amritapuri campus.

He is primarily data scientist with over 10 years’ experience using predictive modelling, data processing, and data mining algorithms in commercial product development environments and academic research environments. His research interests include Machine Learning, Artificial Intelligence, Feature selection methods and Bayesian Optimisation. Dr. Shiva has over 15 research articles to his credit, published in reputed high impact conferences as Neural Information Processing Systems, PAKDD and journals such as Journal of Medical Internet Research, Journal of Biomedical and Health Informatics.

Publications

Journal Article

Year : 2016

Forecasting Daily Patient Outflow from a Ward Having No Real-Time Clinical Data

Cite this Research Publication : S. Gopakumar, T. Tran, W. Luo, D. Phung, and S. Venkatesh, "Forecasting Daily Patient Outflow from a Ward Having No Real-Time Clinical Data," JMIR Med Inform, 2016 Jul 21; 4(3): e25. DOI: 10.2196/medinform.5650

Year : 2015

Stabilizing High-Dimensional Prediction Models Using Feature Graphs

Cite this Research Publication : S. Gopakumar, T. Tran, T. D. Nguyen, D. Phung, and S. Venkatesh, "Stabilizing High-Dimensional Prediction Models Using Feature Graphs," IEEE Journal of Biomedical and Health Informatics 19.3 (2015). DOI: 10.1109/JBHI.2014.2353031

Year : 2015

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records

Cite this Research Publication : S. Gopakumar, T. Nguyen, T. Tran, D. Phung, and S. Venkatesh, "Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records," In: 9078, Advances in Knowledge Discovery and Data Mining, pp. 331-343, Springer, DOI 10.1007/978-3-319-18032-8_26, (2015).

Year : 2010

English to Tamil Transliteration using One Class Support Vector Machine

Cite this Research Publication : M. S. Vijaya, Shivapratap, G., and Dr. Soman K. P., "English to Tamil Transliteration using One Class Support Vector Machine", International Journal of Applied Engineering Research, vol. 5, no. 4, pp. 641-652, 2010.

Publisher : International Journal of Applied Engineering Research

Year : 2009

Tamil POS tagging using Linear Programming

Cite this Research Publication : V. Dhanalakshmi, Shivapratap, G., Dr. Soman K. P., Rajendran, S., and M Kumar, A., “Tamil POS tagging using Linear Programming”, International Journal of Recent Trends in Engineering, Vol. 1, Iss. 2, (May 2009): 166-169.

Publisher : Citeseer

Conference Paper

Year : 2018

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation

Cite this Research Publication : S. Gopakumar, S. Gupta, S. Rana, V. Nguyen, and S. Venkatesh, "Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation," In: Advances in Neural Information Processing Systems 31, Curran Associates, Inc., 2018, pp. 5465 - 5473.

Year : 2016

Forecasting patient outflow from wards having no real-time clinical data

Cite this Research Publication : S. Gopakumar, T. Tran, W. Luo, D. Phung, and S. Venkatesh, "Forecasting patient outflow from wards having no real-time clinical data," In Proceedings of IEEE International Conference on Healthcare Informatics, 2016, DOI: 10.1109/ICHI.2016.26

Publisher : IEEE

Year : 2016

Stabilizing Linear Prediction Models Using Autoencoder

Cite this Research Publication : S.Gopakumar, T. Tran, D. Phung, and S. Venkatesh, "Stabilizing Linear Prediction Models Using Autoencoder," In: 12th International Conference on Advanced Data Mining and Applications. Cham: Springer International Publishing, 2016, pp. 651–663. ISBN: 978-3-319-49586-6.

Publisher : Cham: Springer International Publishing

Year : 2014

Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records

Cite this Research Publication : S. Gopakumar, T. Tran, D. Phung, and S. Venkatesh, "Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records," In: Proceedings of the Second International Workshop on Pattern Recognition for Healthcare Analytics, 2014.

Education
  • Ph. D. in Computer Science | Deakin University, Melbourne, Australia| Aug 2013 – June 2017
  • Master of Technology in Computational Engineering | Amrita Vishwa Vidyapeetham, Coimbatore, India| 2004 – 2006
  • Bachelor of Technology in Computer Engineering | Model Engineering College, India| 1998 – 2002
Work Experience
  • Senior Data Scientist, KPMG Australia, June 2022 – September 2022
  • Senior Data Scientist, eShepherd Gallagher Australia/New Zealand, Oct 2018 – June 2022
  • Associate Research Fellow, Deakin University, Australia, July 2017 – Oct 2018
  • Assistant Professor (Senior Grade), Amrita Vishwa Vidyapeetham, Coimbatore, July 2012 – June 2013
  • Senior Research Associate, Amrita Vishwa Vidyapeetham, Coimbatore, July 2006 – July 2012
  • Senior Sofware Engineer, Bobcares, Dec 2002 – Dec 2004
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